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Associations of Autism Spectrum Disorder with PM 2.5 Components: A Comparative Study Using Two Different Exposure Models.

Md Mostafijur RahmanSarah A CarterJane C LinTing ChowXin YuMayra P MartinezZhanghua ChenJiu-Chiuan ChenDaniel RudJuan P LewingerAaron van DonkelaarRandall V MartinSandrah Proctor EckelJoel SchwartzFred LurmannMichael J KleemanRob McConnellAnny H Xiang
Published in: Environmental science & technology (2022)
This retrospective cohort study examined associations of autism spectrum disorder (ASD) with prenatal exposure to major fine particulate matter (PM 2.5 ) components estimated using two independent exposure models. The cohort included 318 750 mother-child pairs with singleton deliveries in Kaiser Permanente Southern California hospitals from 2001 to 2014 and followed until age five. ASD cases during follow-up ( N = 4559) were identified by ICD codes. Prenatal exposures to PM 2.5 , elemental (EC) and black carbon (BC), organic matter (OM), nitrate (NO 3 - ), and sulfate (SO 4 2- ) were constructed using (i) a source-oriented chemical transport model and (ii) a hybrid model. Exposures were assigned to each maternal address during the entire pregnancy, first, second, and third trimester. In single-pollutant models, ASD was associated with pregnancy-average PM 2.5 , EC/BC, OM, and SO 4 2- exposures from both exposure models, after adjustment for covariates. The direction of effect estimates was consistent for EC/BC and OM and least consistent for NO 3 - . EC/BC, OM, and SO 4 2- were generally robust to adjustment for other components and for PM 2.5 . EC/BC and OM effect estimates were generally larger and more consistent in the first and second trimester and SO 4 2- in the third trimester. Future PM 2.5 composition health effect studies might consider using multiple exposure models and a weight of evidence approach when interpreting effect estimates.
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